Delete legacy JSON metadata (#2)

- Delete legacy JSON metadata (71a5bd940620558860ffbd6da11dd6eb0331cabf)

dataset_infos.json

@@ -1 +0,0 @@
-{"wiki": {"description": "SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.\nIt is derived from medical articles on the Swedish Wikipedia, L\u00e4kartidningen, and 1177 V\u00e5rdguiden.\n", "citation": "@inproceedings{almgrenpavlovmogren2016bioner,\n  title={Named Entity Recognition in Swedish Medical Journals with Deep Bidirectional Character-Based LSTMs},\n  author={Simon Almgren, Sean Pavlov, Olof Mogren},\n  booktitle={Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016)},\n  pages={1},\n  year={2016}\n}\n", "homepage": "https://github.com/olofmogren/biomedical-ner-data-swedish", "license": "Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)\nSee http://creativecommons.org/licenses/by-sa/4.0/ for the summary of the license.\n", "features": {"sid": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "entities": {"feature": {"start": {"dtype": "int32", "id": null, "_type": "Value"}, "end": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "type": {"num_classes": 3, "names": ["Disorder and Finding", "Pharmaceutical Drug", "Body Structure"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "swedish_medical_ner", "config_name": "wiki", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7044714, "num_examples": 48720, "dataset_name": "swedish_medical_ner"}}, "download_checksums": {"https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/Wiki_annotated_60.txt": {"num_bytes": 3219144, "checksum": "734636dfd409c27539ca7fa57db35f04f9f6bdd8f0af4e385fb32f0c26a702f1"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/LT_annotated_60.txt": {"num_bytes": 48959042, "checksum": "76a8e0aa4a56039074a15bcd95122cdfdecc4d1c1ddf71d94b58a25d42577dc3"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/1177_annotated_sentences.txt": {"num_bytes": 94526, "checksum": "7c55f61f57cc1504e47b8b69d01ba763a13a3d3ebce4b0ca9851133392fd000a"}}, "download_size": 52272712, "post_processing_size": null, "dataset_size": 7044714, "size_in_bytes": 59317426}, "lt": {"description": "SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.\nIt is derived from medical articles on the Swedish Wikipedia, L\u00e4kartidningen, and 1177 V\u00e5rdguiden.\n", "citation": "@inproceedings{almgrenpavlovmogren2016bioner,\n  title={Named Entity Recognition in Swedish Medical Journals with Deep Bidirectional Character-Based LSTMs},\n  author={Simon Almgren, Sean Pavlov, Olof Mogren},\n  booktitle={Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016)},\n  pages={1},\n  year={2016}\n}\n", "homepage": "https://github.com/olofmogren/biomedical-ner-data-swedish", "license": "Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)\nSee http://creativecommons.org/licenses/by-sa/4.0/ for the summary of the license.\n", "features": {"sid": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "entities": {"feature": {"start": {"dtype": "int32", "id": null, "_type": "Value"}, "end": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "type": {"num_classes": 3, "names": ["Disorder and Finding", "Pharmaceutical Drug", "Body Structure"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "swedish_medical_ner", "config_name": "lt", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 97955287, "num_examples": 745753, "dataset_name": "swedish_medical_ner"}}, "download_checksums": {"https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/Wiki_annotated_60.txt": {"num_bytes": 3219144, "checksum": "734636dfd409c27539ca7fa57db35f04f9f6bdd8f0af4e385fb32f0c26a702f1"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/LT_annotated_60.txt": {"num_bytes": 48959042, "checksum": "76a8e0aa4a56039074a15bcd95122cdfdecc4d1c1ddf71d94b58a25d42577dc3"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/1177_annotated_sentences.txt": {"num_bytes": 94526, "checksum": "7c55f61f57cc1504e47b8b69d01ba763a13a3d3ebce4b0ca9851133392fd000a"}}, "download_size": 52272712, "post_processing_size": null, "dataset_size": 97955287, "size_in_bytes": 150227999}, "1177": {"description": "SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.\nIt is derived from medical articles on the Swedish Wikipedia, L\u00e4kartidningen, and 1177 V\u00e5rdguiden.\n", "citation": "@inproceedings{almgrenpavlovmogren2016bioner,\n  title={Named Entity Recognition in Swedish Medical Journals with Deep Bidirectional Character-Based LSTMs},\n  author={Simon Almgren, Sean Pavlov, Olof Mogren},\n  booktitle={Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016)},\n  pages={1},\n  year={2016}\n}\n", "homepage": "https://github.com/olofmogren/biomedical-ner-data-swedish", "license": "Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)\nSee http://creativecommons.org/licenses/by-sa/4.0/ for the summary of the license.\n", "features": {"sid": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "entities": {"feature": {"start": {"dtype": "int32", "id": null, "_type": "Value"}, "end": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "type": {"num_classes": 3, "names": ["Disorder and Finding", "Pharmaceutical Drug", "Body Structure"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "swedish_medical_ner", "config_name": "1177", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 159007, "num_examples": 927, "dataset_name": "swedish_medical_ner"}}, "download_checksums": {"https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/Wiki_annotated_60.txt": {"num_bytes": 3219144, "checksum": "734636dfd409c27539ca7fa57db35f04f9f6bdd8f0af4e385fb32f0c26a702f1"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/LT_annotated_60.txt": {"num_bytes": 48959042, "checksum": "76a8e0aa4a56039074a15bcd95122cdfdecc4d1c1ddf71d94b58a25d42577dc3"}, "https://raw.githubusercontent.com/olofmogren/biomedical-ner-data-swedish/master/1177_annotated_sentences.txt": {"num_bytes": 94526, "checksum": "7c55f61f57cc1504e47b8b69d01ba763a13a3d3ebce4b0ca9851133392fd000a"}}, "download_size": 52272712, "post_processing_size": null, "dataset_size": 159007, "size_in_bytes": 52431719}}